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DBMS > EsgynDB vs. Firebird vs. Graphite vs. IBM Db2 Event Store vs. Spark SQL

System Properties Comparison EsgynDB vs. Firebird vs. Graphite vs. IBM Db2 Event Store vs. Spark SQL

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFirebird  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFirebird is an open source RDBMS forked from Borland's InterBaseData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed Event Store optimized for Internet of Things use casesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.esgyn.cnwww.firebirdsql.orggithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-storespark.apache.org/­sql
Technical documentationwww.firebirdsql.org/­en/­reference-manualsgraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-storespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEsgynFirebird FoundationChris DavisIBMApache Software Foundation
Initial release20152000 infoAs fork of Borland's InterBase200620172014
Current release5.0.0, January 20242.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++PythonC and C++Scala
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Unix
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLyesyesnoyes infothrough the embedded Spark runtimeSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresPSQLnoyesno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnoneActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes infolockingNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptnofine grained access rights according to SQL-standardno

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More resources
EsgynDBFirebirdGraphiteIBM Db2 Event StoreSpark SQL
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